A CNN-SVM study based on selected deep features for grapevine leaves classification

•Classification of five classes of grapevine leaves by MobileNetv2 CNN Model.•Classification of features using SVMs with different kernel functions.•Implementing a feature selection algorithm for high classification percentage.•Classification with highest accuracy using CNN-SVM Cubic model. The main...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation 2022-01, Vol.188, p.110425, Article 110425
Hauptverfasser:	Koklu, Murat, Unlersen, M. Fahri, Ozkan, Ilker Ali, Aslan, M. Fatih, Sabanci, Kadir
Format:	Artikel
Sprache:	eng
Schlagworte:	Citrus fruits Classification Deep learning Feature extraction Grapevine leaves Grapevines Image classification Kernels Leaf identification Leaves Machine learning Neural networks Support vector machines SVM Transfer learning
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